b0a0a47a0b
Rename variables ( #124 )
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- data_batch → batch
- batch_i → batch_idx
- dataloader_i → dataloader_idx
- tng → training
- training_dataloader → train_dataloader
- add_log_row_interval → row_log_interval
- gradient_clip → gradient_clip_val
- prog → progress
- tqdm_dic → tqdm_dict
2019-09-25 19:05:06 -04:00
64688e1e15
Refactor test modules ( #180 )
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* Expectopatronum implement #89 (#182 )
* rename validate -> evaluate; implement test logic; allow multiple test_loaders
* add test_step and test_end to LightningModule
* add in_test_mode to pretraining to implement case 2 (test pretrained model)
* fix code style issues
* LightningTestModel: add optional second test set, implement test_step and test_end
* implemented test for multiple test_dataloaders; fixed typo
* add two test cases for #89
* add documentation for test_step, test_end; fix computation of loss in validation_step example
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Added proper dp ddp routing calls for test mode
* Update trainer.py
* Update test_models.py
* Update trainer.py
* Update trainer.py
* Update override_data_parallel.py
* Update test_models.py
* Update test_models.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update test_models.py
* Update test_models.py
* debug
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* Update trainer.py
* Update override_data_parallel.py
* Update debug.py
* Update lm_test_module.py
* Update test_models.py
* release v0.4.8
* Update README.md
* add training loop docs
* testing loop docs
* testing loop docs
* Convert __dataloader to _dataloader
This will let inherited classes use it
* Factor common test model setup into base class
* Specialized test modules inherit from LightningTestModelBase
* Fix __is_overriden so that it works with more complicated inheritance
* Use mixins to add functionality to test models
* Fix test with no val_dataloader
* Remove unused imports
* Get rid of wild card import
* Update trainer.py
* Update lm_test_module.py
2019-09-02 15:46:16 -04:00
25d5b25792
Expectopatronum implement #89 ( #182 )
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* rename validate -> evaluate; implement test logic; allow multiple test_loaders
* add test_step and test_end to LightningModule
* add in_test_mode to pretraining to implement case 2 (test pretrained model)
* fix code style issues
* LightningTestModel: add optional second test set, implement test_step and test_end
* implemented test for multiple test_dataloaders; fixed typo
* add two test cases for #89
* add documentation for test_step, test_end; fix computation of loss in validation_step example
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Added proper dp ddp routing calls for test mode
* Update trainer.py
* Update test_models.py
* Update trainer.py
* Update trainer.py
* Update override_data_parallel.py
* Update test_models.py
* Update test_models.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update test_models.py
* Update test_models.py
* debug
* debug
* debug
* debug
* debug
* debug
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* Update trainer.py
* Update override_data_parallel.py
* Update debug.py
* Update lm_test_module.py
* Update test_models.py
2019-09-02 07:15:27 -04:00
4104a0fc47
cleaned up progbar ( #165 )
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* cleaned up progbar
* cleaned up progbar
* cleaned up progbar
* cleaned up progbar
* cleaned up progbar
* cleaned up progbar
* cleaned up progbar
* updated base files
* updated base files
* updated base files
* updated base files
* updated base files
* updated base files
* updated base files
* updated base files
* updated base files
* updated base files
* updated base files
* updated base files
* updated base files
* updated base files
* updated base files
* updated base files
* updated base files
* updated base files
* updated base files
* updated base files
* updated base files
* flake 8
2019-08-23 21:23:27 -04:00
a27fb5d54c
enhanced optimizer return options ( #120 )
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* added smarter optimizer options
* added smarter optimizer options
* added smarter optimizer options tests
* added smarter optimizer options tests
* added smarter optimizer options tests
* added smarter optimizer options tests
* added smarter optimizer options tests
* added smarter optimizer options tests
* added smarter optimizer options tests
* added single gpu data transfer recursive
* added single gpu data transfer recursive
* added single gpu data transfer recursive
* added single gpu data transfer recursive
* added single gpu data transfer recursive
2019-08-15 11:31:56 -04:00
7f53e7bfb3
Val idx optional in validation_step ( #108 )
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* made dataset_i only available with multiple datasets
* updated interface signature
* updated tests
2019-08-13 11:37:37 -04:00
511f7ecb9a
Support for multiple val_dataloaders ( #97 )
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* Added support for multiple validation dataloaders
* Fix typo in README.md
* Update trainer.py
* Add support for multiple dataloaders
* Rename dataloader_index to dataloader_i
* Added warning to check val_dataloaders
Added a warning to ensure that all val_dataloaders were DistributedSamplers if ddp is enabled
* Updated DistributedSampler warning
* Fixed typo
* Added multiple val_dataloaders
* Multiple val_dataloader test
* Update lightning_module_template.py
Added dataloader_i to validation_step parameters
* Update trainer.py
* Reverted template changes
* Create multi_val_module.py
* Update no_val_end_module.py
* New MultiValModel
* Rename MultiValModel to MultiValTestModel
* Revert to LightningTestModel
* Update test_models.py
* Update trainer.py
* Update test_models.py
* multiple val_dataloaders in test template
* Fixed flake8 warnings
* Update trainer.py
* Fix flake errors
* Fixed Flake8 errors
* Update lm_test_module.py
keep this test model with a single dataset for val
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update test_models.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update trainer.py
* Update RequiredTrainerInterface.md
* Update RequiredTrainerInterface.md
* Update test_models.py
* Update trainer.py
dont need the else clause, val_dataloader is either a list or none because of get_dataloaders()
* Update trainer.py
fixed flake errors
* Update trainer.py
2019-08-12 15:23:11 -04:00
075653e6dd
moved badge image
2019-08-07 12:01:18 -04:00
16e5093805
added test model to do also
2019-08-07 11:47:05 -04:00
10e4b18452
made imports absolute
2019-08-07 10:14:59 -04:00
d9bfe964f9
update by flake8
2019-08-06 22:45:46 +02:00
c44966a8bf
apply PEP8
2019-08-06 22:45:27 +02:00
469941a528
pkg relative imports
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* split requirements.txt
* pytest verbose
2019-08-05 10:52:09 +02:00
92f8c57ff5
cutout examples
2019-08-05 09:51:47 +02:00
Alok Singh